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Situational awareness: the decade ahead [Internet]. 2024 [cited 2025 Apr 15]. Available from: https:\/\/situational-awareness.ai\/wp-content\/uploads\/2024\/06\/situationalawareness.pdf."},{"key":"ref40","unstructured":"Karthikesalingam A, Natarajan P. AMIE: a research AI system for diagnostic medical reasoning and conversations [Internet]. 2024 [cited 2025 Feb 22]. Available from: https:\/\/research.google\/blog\/amie-a-research-ai-system-for-diagnostic-medical-reasoning-and-conversations\/."},{"key":"ref41","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1038\/s41583-020-0277-3","article-title":"Backpropagation and the brain","volume":"21","author":"Lillicrap","year":"2020","journal-title":"Nat Rev Neurosci"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1007\/s10916-018-1088-1","article-title":"Medical image analysis using convolutional neural networks: a review","volume":"42","author":"Anwar","year":"2018","journal-title":"J Med Syst"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"6999","DOI":"10.1109\/TNNLS.2021.3084827","article-title":"A survey of convolutional neural networks: analysis, applications, and prospects","volume":"33","author":"Li","year":"2021","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/RBME.2022.3210270","article-title":"Natural language processing for smart healthcare","volume":"17","author":"Zhou","year":"2024","journal-title":"IEEE Rev Biomed Eng"},{"key":"ref45","unstructured":"OpenAI. 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Available from: https:\/\/cdn.openai.com\/o3-mini-system-card-feb10.pdf."},{"key":"ref49","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1186\/s12909-023-04698-z","article-title":"Revolutionizing healthcare: the role of artificial intelligence in clinical practice","volume":"23","author":"Alowais","year":"2023","journal-title":"BMC Med Educ"},{"key":"ref50","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1038\/s43856-023-00370-1","article-title":"The future landscape of large language models in medicine","volume":"3","author":"Clusmann","year":"2023","journal-title":"Commun Med"},{"key":"ref51","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1007\/s12032-022-01711-1","article-title":"Artificial intelligence and machine learning in precision and genomic medicine","volume":"39","author":"Quazi","year":"2022","journal-title":"Med Oncol"},{"key":"ref52","doi-asserted-by":"crossref","first-page":"100141","DOI":"10.1016\/j.cmpbup.2024.100141","article-title":"Artificial intelligence for diabetes: enhancing prevention, diagnosis, and effective management","volume":"5","author":"Khalifa","year":"2024","journal-title":"Comput Methods Programs Biomed Update"},{"key":"ref53","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1177\/1932296815622453","article-title":"A digital ecosystem of diabetes data and technology: services, systems, and tools enabled by wearables, sensors, and apps","volume":"10","author":"Heintzman","year":"2015","journal-title":"J Diabetes Sci Technol"},{"key":"ref54","doi-asserted-by":"crossref","first-page":"4278","DOI":"10.3390\/jcm12134278","article-title":"Cardiology in a digital age: opportunities and challenges for e-health: a literature review","volume":"12","author":"Pegoraro","year":"2023","journal-title":"J Clin 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Inq"},{"key":"ref86","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1145\/3703155","article-title":"A survey on hallucination in large language models: principles, taxonomy, challenges, and open questions","volume":"43","author":"Huang","year":"2025","journal-title":"ACM Trans Inf Syst"},{"key":"ref87","first-page":"e35179","article-title":"Artificial hallucinations in ChatGPT: implications in scientific writing","volume":"15","author":"Alkaissi","year":"2023","journal-title":"Cureus"},{"key":"ref88","doi-asserted-by":"crossref","first-page":"102861","DOI":"10.1016\/j.artmed.2024.102861","article-title":"Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: a perspective for healthcare organizations","volume":"151","author":"Esmaeilzadeh","year":"2024","journal-title":"Artif Intell Med"},{"key":"ref89","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1080\/14494035.2021.1928377","article-title":"Governance of artificial intelligence","volume":"40","author":"Taeihagh","year":"2021","journal-title":"Policy Soc"},{"key":"ref90","unstructured":"Passi S, Vorvoreanu M. Overreliance on AI literature review [Internet]. 2022 [cited 2025 Apr 15]. 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